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Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature

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  • Hawkins, Jacob
  • Ma, Chunbo
  • Schilizzi, Steven
  • Zhang, Fan

Abstract

As the world's largest developing economy, China plays a key role in global climate change and other environmental impacts of international concern. Environmentally extended input–output analysis (EE-IOA) is an important and insightful tool seeing widespread use in studying large-scale environmental impacts in China: calculating and analyzing greenhouse gas emissions, carbon and water footprints, pollution, and embodied energy. This paper surveys the published articles regarding EE-IOA for China in peer-reviewed journals and provides a comprehensive and quantitative overview of the body of literature, examining the research impact, environmental issues addressed, and data utilized. The paper further includes a discussion of the shortcomings in official Chinese data and of the potential means to move beyond its inherent limitations.

Suggested Citation

  • Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature," Energy Economics, Elsevier, vol. 48(C), pages 81-88.
    • Handle: RePEc:eee:eneeco:v:48:y:2015:i:c:p:81-88
    DOI: 10.1016/j.eneco.2014.12.002
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    Cited by:

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    2. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
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    4. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    5. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    6. Su, Bin & Ang, B.W., 2022. "Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data," Energy Economics, Elsevier, vol. 113(C).
    7. Jacob Hawkins & Chunbo Ma & Steven Schilizzi & Fan Zhang, 2018. "China's changing diet and its impacts on greenhouse gas emissions: an index decomposition analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(1), pages 45-64, January.
    8. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    9. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    10. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
    11. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    12. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
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    15. Guan, Shihui & Han, Mengyao & Wu, Xiaofang & Guan, ChengHe & Zhang, Bo, 2019. "Exploring energy-water-land nexus in national supply chains: China 2012," Energy, Elsevier, vol. 185(C), pages 1225-1234.
    16. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    17. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    18. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    19. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
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    21. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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    More about this item

    Keywords

    China; Environmentally extended; Input–output analysis;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • F18 - International Economics - - Trade - - - Trade and Environment
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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